Turn on File Upload to upload Metrics totals into Ambition via CSV. Perfect for new companies, small teams, and hard-to-automate Metrics.
Enable the Integration
1. Login to your Ambition instance.
2. Open the left navigation and click Administration > Data > Integrations.
3. Under Available Integrations, click the blue Enable Integration button in line with the File Upload integration. You will be redirected within the new File Upload Integration.
Upon enabling you will be redirected within the Integration. To enter the File Upload Integration anytime after original enabling:
Once enabled, the File Upload Integration will appear under Active Integrations at the top of the page.
4. Click the Settings button to enter the File Upload Integration.
You've now enabled the File Upload Integration, but Ambition needs to be instructed on how to handle your data.
1. Within the File Upload Integration, click the Data Format tab.
Will your Organization be sending Daily Totals or Records?
Data Format Type
2. Use the Data Format Type dropdown to select either Daily Totals or Records.
Select Daily Totals if you will be uploading daily Metric totals for each employee. This typically means that you (or your system) already processes the data and you will be uploading the results.
Daily Total Example - CSV
email,date,calls,emails,appointments email@example.com,2017-8-16,11,12,3 firstname.lastname@example.org,2017-8-16,6,9,10
Select Records if you will be transmitting raw records for each employee. This typically means that you will be offloading the processing to Ambition, specifically the logic to derive Metrics from records
Records Example - CSV
email,created_date,record_id,type,status,appointment_date,booking_date,revenue email@example.com,2017-8-14 8:23:11,abc123,appointment,completed,2017-8-16,, firstname.lastname@example.org,2017-8-16 7:59:23,abc456,call,completed,,,
This is where you will define and map the data transmitted.
Since your File Format is CSV, then you will be mapping your spreadsheet's named column headers.
Field Key: How the field is identified within your file --> the column headers.
Display Name: How the field key will be displayed within Ambition.
Field Type: The type of information contained within the field.
Field Type Options
Your Data Format Type (Daily Totals or Records) will determine which Field Types are available.
|Field Types||Field Type Descriptions|
|Unique Record Identifier||
Specific to the Records format type, you must transmit and map a field specifying record-level uniqueness.
Ex: record_id, order_number
|Unique Employee Identifier||
Field specifying the employee who should be credited for the data. This is commonly an employee_id. Unique Employee Identifier or Email Address is required.
(Upon saving the Data Format, the correlating Field Type will be renamed from Unique Employee Identifier to an integration specific name for easier identification across platform)
Ex: employee_id, employee_extension
Email address of the employee who should be credited for the data. Email Address or Unique Employee Identifier is required.
Specific to the Records format type, you must transmit and map a field specifying the record's timestamp in your local timezone.
Note: If you would like to send UTC, please contact email@example.com to aid in the integration setup.
Specific to the Daily Totals format type, you must transmit and map a field specifying the record's date. We will automatically floor timestamps.
Field containing a value that you wish to be summed across Ambition. A metric will automatically be created.
Ex: revenue, talk_time
Field containing a value that you wish to be averaged across Ambition. A metric will automatically be created.
Ex: revenue, talk_time
Specific to the Records format type, a field containing a number to be used in creating and processing metrics.
Ex: amount, duration
Specific to the Records format type, a field containing a string to be used in creating and processing metrics.
Ex: type, stage, status
To Create Field Mappings:
1. Click the blue Add button.
2. Fill in the Field Key, Display Name, and Field Type for each CSV column header.
Update the email and date placeholder Field Keys as needed to fit your Data Format.
3. Once the Data Format is complete, click the green Save Data Format button.
4. Type I UNDERSTAND and click the CONFIRM button to confirm your understanding about the Data Format Type, Fields, and Metrics put in place.
If you previously created any Metric (Sum) or Metric (Average) field mappings these will automatically show up in your Metric Library.
If accessing existing Metrics, click Manage under the Metric Library tab.
If you desire to build new Metrics, click Add under the Metric Library tab.
Object: Select File Upload Depot Record
User Field: Select an available Email or Employee Unique Identifier field
Date Field: Select an available Date or Date/Time field.
Metric Type and Field to Sum:
If Metric (Sum) or Metric (Average) was selected, these fields will be prepopulated.
For Records format, you will have the additional option of Count.
Metric Filters (only applicable for Records based Data Formats)
To add filters:
1. Click on the blue Add Filter button to optionally add logic.
2. Select a Field from the first dropdown.
3. Select a logic statement from the second dropdown.
4. Enter or select a value from the third dropdown.
If you add multiple filters notice that a Logic bar appears where you can add logic to your filters if required.
For example, if you have Filter 1 and Filter 2 your Logic bar can be:
1 AND 2 which means both Filter 1 and Filter 2 must be True
1 OR 2 which means either Filter 1 or Filter 2 must be True
Click on the green Confirm and Save Changes button to update the Metric.